Eraser - AI Object Removal app icon

Apps Like Eraser - AI Object Removal for iPhone and iPad

by Victor Aguilar★ 4.02 ratingsPhoto & VideoFreeData updated 2026-09-06

Eraser - AI Object Removal screenshots

Ranked alternatives

Showing 321–340 of 1,000 ranked alternatives.

  1. Background Remover app icon

    Background Remover

    LILUCAT SLU

    Edit photos and remove backgrounds

    Edit photos by coloring areas to remove, blur, or pixelate backgrounds. Adjust sensitivity for precise edits. Save and share modified images directly.

    ★ 4.613 ratingsPhoto & VideoFreeData updated 2026-09-06
  1. Pixelare app icon

    Pixelare

    Shuvangi Chakrabarty

    ★ 0.00 ratingsPhoto & VideoFreeData updated 2026-09-06
  2. Object Remover : Remove People app icon

    Object Remover : Remove People

    Cookie in the fridge LLC

    Edit photos and unwanted content

    Edit photos by removing unwanted elements like , skin blemishes, buildings, and lines using AI technology. Crop images and videos with high quality. Eliminate dark spots and acne from faces or bodies. Adjust and enhance images for a polished look.

    ★ 4.1259 ratingsPhoto & VideoFreeData updated 2026-09-06
  3. Background Eraser & Changer app icon

    Background Eraser & Changer

    Kevin Ghori

    Remove with freehand cut tool

    Remove from photos using a freehand cut tool. Select images and create multiple cutouts. Edit cutout details for precise results. Use cutouts as stickers or stamps on other photos. Move, zoom, and rotate cutouts for flexible editing.

    ★ 1.01 ratingsPhoto & VideoFreeData updated 2026-09-18
  4. KLIM Film Scanner app icon

    KLIM Film Scanner

    Maxime Gheysen

    Scan, edit, and share photos

    Digitize negative and positive color films with high-quality scanning. Edit scanned images using intuitive tools. Adjust exposure, contrast, and color balance. Save and share edited photos directly.

    ★ 4.6155 ratingsPhoto & VideoFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.